xinntao / realesrgan

Practical Image Restoration Algorithms for General/Anime Images

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Input

Output

Run time and cost

This model costs approximately $0.0026 to run on Replicate, or 384 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 12 seconds.

Readme

Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

If Real-ESRGAN is helpful, please help to ⭐ the Github Repo and recommend it to your friends 😊

Model Descriptions

Option Weight Name Description
▶General - RealESRGANplus: <RealESRGAN_x4plus.pth> A large model for general images
▶General - v3: <realesr-general-x4v3.pth> A tiny model for general images
▶Anime - anime6B: <RealESRGAN_x4plus_anime_6B.pth> A large model for anime images/illustrations
▶AnimeVideo - v3: <realesr-animevideov3.pth> A tiny model for anime images, especially for anime videos

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📧Contact

If you have any question, please email xintao.wang@outlook.com or xintaowang@tencent.com.